Assessing Polycystic Kidney Disease in Rodents: Comparison of Robotic 3D Ultrasound and Magnetic Resonance Imaging
Polycystic kidney disease (PKD) is an inherited disorder characterized by renal cyst formation and enlargement of the kidney. PKD severity can be staged noninvasively by measuring total kidney volume (TKV), a promising biomarker that has recently received regulatory qualification. In preclinical mou...
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Published in | Kidney360 Vol. 1; no. 10; pp. 1126 - 1136 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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American Society of Nephrology
29.10.2020
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Abstract | Polycystic kidney disease (PKD) is an inherited disorder characterized by renal cyst formation and enlargement of the kidney. PKD severity can be staged noninvasively by measuring total kidney volume (TKV), a promising biomarker that has recently received regulatory qualification. In preclinical mouse models, where the disease is studied and potential therapeutics are evaluated, the most popular noninvasive method of measuring TKV is magnetic resonance imaging (MRI). Although MRI provides excellent 3D resolution and contrast, these systems are expensive to operate, have long acquisition times, and, consequently, are not heavily used in preclinical PKD research. In this study, a new imaging instrument, based on robotic ultrasound (US), was evaluated as a complementary approach for assessing PKD in rodent models. The objective was to determine the extent to which TKV measurements on the robotic US scanner correlated with both
and
reference standards (MRI and Vernier calipers, respectively). A cross-sectional study design was implemented that included both PKD-affected mice and healthy wild types, spanning sex and age for a wide range of kidney volumes. It was found that US-derived TKV measurements and kidney lengths were strongly associated with both
MRI and
Vernier caliper measurements (
=0.94 and 0.90, respectively). In addition to measuring TKV, renal vascular density was assessed using acoustic angiography (AA), a novel contrast-enhanced US methodology. AA image intensity, indicative of volumetric vascularity, was seen to have a strong negative correlation with TKV (
=0.82), suggesting impaired renal vascular function in mice with larger kidneys. These studies demonstrate that robotic US can provide a rapid and accurate approach for noninvasively evaluating PKD in rodent models. |
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AbstractList | Polycystic kidney disease (PKD) is an inherited disorder characterized by renal cyst formation and enlargement of the kidney. PKD severity can be staged noninvasively by measuring total kidney volume (TKV), a promising biomarker that has recently received regulatory qualification. In preclinical mouse models, where the disease is studied and potential therapeutics are evaluated, the most popular noninvasive method of measuring TKV is magnetic resonance imaging (MRI). Although MRI provides excellent 3D resolution and contrast, these systems are expensive to operate, have long acquisition times, and, consequently, are not heavily used in preclinical PKD research. In this study, a new imaging instrument, based on robotic ultrasound (US), was evaluated as a complementary approach for assessing PKD in rodent models. The objective was to determine the extent to which TKV measurements on the robotic US scanner correlated with both
in vivo
and
ex vivo
reference standards (MRI and Vernier calipers, respectively). A cross-sectional study design was implemented that included both PKD-affected mice and healthy wild types, spanning sex and age for a wide range of kidney volumes. It was found that US-derived TKV measurements and kidney lengths were strongly associated with both
in vivo
MRI and
ex vivo
Vernier caliper measurements (
R
2
=0.94 and 0.90, respectively). In addition to measuring TKV, renal vascular density was assessed using acoustic angiography (AA), a novel contrast-enhanced US methodology. AA image intensity, indicative of volumetric vascularity, was seen to have a strong negative correlation with TKV (
R
2
=0.82), suggesting impaired renal vascular function in mice with larger kidneys. These studies demonstrate that robotic US can provide a rapid and accurate approach for noninvasively evaluating PKD in rodent models. Polycystic kidney disease (PKD) is an inherited disorder characterized by renal cyst formation and enlargement of the kidney. PKD severity can be staged noninvasively by measuring total kidney volume (TKV), a promising biomarker that has recently received regulatory qualification. In preclinical mouse models, where the disease is studied and potential therapeutics are evaluated, the most popular noninvasive method of measuring TKV is magnetic resonance imaging (MRI). Although MRI provides excellent 3D resolution and contrast, these systems are expensive to operate, have long acquisition times, and, consequently, are not heavily used in preclinical PKD research. In this study, a new imaging instrument, based on robotic ultrasound (US), was evaluated as a complementary approach for assessing PKD in rodent models. The objective was to determine the extent to which TKV measurements on the robotic US scanner correlated with both and reference standards (MRI and Vernier calipers, respectively). A cross-sectional study design was implemented that included both PKD-affected mice and healthy wild types, spanning sex and age for a wide range of kidney volumes. It was found that US-derived TKV measurements and kidney lengths were strongly associated with both MRI and Vernier caliper measurements ( =0.94 and 0.90, respectively). In addition to measuring TKV, renal vascular density was assessed using acoustic angiography (AA), a novel contrast-enhanced US methodology. AA image intensity, indicative of volumetric vascularity, was seen to have a strong negative correlation with TKV ( =0.82), suggesting impaired renal vascular function in mice with larger kidneys. These studies demonstrate that robotic US can provide a rapid and accurate approach for noninvasively evaluating PKD in rodent models. |
Author | Beaumont, Nathan J Gessner, Ryan C Dayton, Paul A Holmes, Heather L Edwards, Marie E Gregory, Adriana V Rojas, Juan D Czernuszewicz, Tomasz J Kline, Timothy L Romero, Michael F |
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References | Fedorov (B19-20230821) 2012; 30 Chao (B22-20230821) 2019; 9 Ecder (B27-20230821) 2009; 5 Tangri (B11-20230821) 2017; 4 Igarashi (B3-20230821) 2007; 18 McGraw (B21-20230821) 1996; 1 Kline (B20-20230821) 2016; 207 Czernuszewicz (B15-20230821) 2018; 89 Ogunlade (B17-20230821) 2018; 314 Levy (B1-20230821) 2000; 58 Nyankima (bib33-20230821) 2019; 98 Perrone (B7-20230821) 2017; 2 Xu (B16-20230821) 2013; 20 Bergmann (B24-20230821) 2015; 30 Wallace (B14-20230821) 2008; 73 Chapman (B23-20230821) 2010; 17 Chapman (B25-20230821) 2003; 64 Edwards (B12-20230821) 2019; 12 Kline (B13-20230821) 2018; 43 Grantham (B8-20230821) 2016; 12 Messchendorp (B28-20230821) 2019; 50 Happé (B6-20230821) 2014; 10 Nagao (B5-20230821) 2012; 61 Sans-Atxer (B4-20230821) 2018; 11 Chong (bib30-20230821) 2018; 43 Miller (bib31-20230821) 2007; 33 Gessner (B18-20230821) 2013; 2013 Rahman (B26-20230821) 2009; 20 |
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SubjectTerms | Animals Cross-Sectional Studies Innovative Technology and Methodology Magnetic Resonance Imaging - methods Mice Polycystic Kidney Diseases - diagnostic imaging Robotic Surgical Procedures Rodentia |
Title | Assessing Polycystic Kidney Disease in Rodents: Comparison of Robotic 3D Ultrasound and Magnetic Resonance Imaging |
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